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Showing 21 - 40 results of 71,473 for search '(( significant increase decrease ) OR ( significant reductions using ))', query time: 0.81s Refine Results
  1. 21
    Trends in the days of third-generation cephalosporin therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of third-generation cephalosporin therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  2. 22
    Trends in the incidence of extended-spectrum β-lactamase (ESBL)- producing Enterobacteriaceae per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of extended-spectrum β-lactamase (ESBL)- producing Enterobacteriaceae per 1000 patients, by month, during the pre-intervention period (Phase 1) and interven... by Naoya Itoh (6029276)

    Published 2023
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  3. 23
    Trends in the incidence of methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional pe... by Naoya Itoh (6029276)

    Published 2023
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  4. 24
    Trends in the days of sulfamethoxazole-trimethoprim therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of sulfamethoxazole-trimethoprim therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  5. 25
    Trends in the incidence of penicillin-resistant <i>Streptococcus pneumoniae</i> (PRSP) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of penicillin-resistant <i>Streptococcus pneumoniae</i> (PRSP) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional... by Naoya Itoh (6029276)

    Published 2023
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  6. 26
    Average purchase costs of 3GCs and all oral antimicrobials per 100 patient-days from Phases 1–4.

    Average purchase costs of 3GCs and all oral antimicrobials per 100 patient-days from Phases 1–4. by Naoya Itoh (6029276)

    Published 2023
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  7. 27
    Trends in the incidence of resistant <i>Haemophilus influenzae</i> per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of resistant <i>Haemophilus influenzae</i> per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).... by Naoya Itoh (6029276)

    Published 2023
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  8. 28
    S1 Dataset -

    S1 Dataset - by Naoya Itoh (6029276)

    Published 2023
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  9. 29
    Trends in the incidence of <i>Clostridioides difficile</i> infection (CDI) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of <i>Clostridioides difficile</i> infection (CDI) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phas... by Naoya Itoh (6029276)

    Published 2023
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  10. 30
    Trends in in-hospital mortality by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in in-hospital mortality by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4). by Naoya Itoh (6029276)

    Published 2023
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  11. 31
    Pop-up for oral 3GC prescription.

    Pop-up for oral 3GC prescription. by Naoya Itoh (6029276)

    Published 2023
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  12. 32
    Trends in the days of cefalexin therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of cefalexin therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  13. 33
    Trends in the days of quinolone therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of quinolone therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  14. 34
    Trends in the length of hospital stay by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the length of hospital stay by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4). by Naoya Itoh (6029276)

    Published 2023
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  15. 35
    Trends in the days of macrolides therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of macrolides therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  16. 36
    Trends in the days of amoxicillin and amoxicillin-clavulanate therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of amoxicillin and amoxicillin-clavulanate therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  17. 37
    Increased and decreased proteins.

    Increased and decreased proteins. by Diego Iacono (10785756)

    Published 2024
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  18. 38
    Example of a participant using the elevated surface (20 cm) during the intermittent footrest use (A) and the intermittent footrest use with arm flexion, hands crossed on the clavicles (B) conditions.

    Example of a participant using the elevated surface (20 cm) during the intermittent footrest use (A) and the intermittent footrest use with arm flexion, hands crossed on the clavic... by Saeedeh Abbasi (9423189)

    Published 2025
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  19. 39
    GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value).

    GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value). by Sangeetha Muthamilselvan (8966006)

    Published 2022
    “…<p>GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value).</p>…”
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  20. 40
    Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions.

    Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions. by Lingzhi Tan (19146572)

    Published 2024
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